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ezCater · 1 day ago

Director, Site Analytics and Experimentation (Remote)

United States

Full-time

Remote

Director/Executive

$248K/yr - $345K/yr

10+ years exp

ezCater is the leading food for work technology company in the US, connecting anyone who needs food for their workplace to over 100,000 restaurants nationwide. The role involves owning and elevating the data-driven optimization ecosystem, overseeing site analytics, and leading a team of Analysts and Data Scientists to maximize business outcomes through data science and machine learning.

CateringFood and BeverageHospitalityMarketplace

Growth Opportunities

No H1B

Responsibilities

Own end-to-end site analytics and performance trends, including funnel health, conversion metrics, and behavioral analysis across all key customer and supplier journeys

Design and execute advanced statistical models and analyses to deeply understand user behavior, identify key drivers of growth, and forecast business metrics

Oversee and interpret A/B/n test results from experimentation platforms (like Eppo), providing definitive, statistically sound guidance on design, content, and feature decisions

Establish and maintain the data governance framework for web analytics and behavioral data, ensuring high fidelity, integrity, and compliance across all instrumentation (FullStory, Amplitude, etc.)

Lead executive-level metric and trend reviews, translating complex data science and analytical findings into clear, actionable business strategies for the broader Product & Technology leadership team

Influence the technical roadmap for data tooling, including the selection and configuration of all web analytics, session replay, and experimentation systems to maximize team efficiency and insight generation

Lead and develop a team of Analysts and Data Scientists, setting the strategic roadmap for data insights, model deployment, and experimentation practices across the organization

Drive the integration of AI/ML to enhance site personalization, predictive customer segmentation, and automated anomaly detection, moving beyond descriptive reporting to prescriptive action

Qualification

AI/ML techniquesData science leadershipWeb analytics expertiseAdvanced statistical modelsSQLPython/RCloud data warehousesA/B testing methodologiesStrategic bias toward actionCritical thinkingTeam leadershipCommunication skills

Required

10+ years of progressive experience in digital product, web analytics, or data science leadership for a B2B/B2C technology, e-commerce, or marketplace company

Proven experience leading, mentoring, and scaling a team that includes both product analysts and data scientists

Deep expertise in applying AI/ML techniques to solve business problems such as personalization, predictive modeling, and demand forecasting

Expert-level familiarity with the modern data stack: SQL, Python/R, cloud data warehouses (Snowflake), and advanced product experimentation tools (Eppo, Optimizely, LaunchDarkly)

Mastery of core analytics platforms: Amplitude, Adobe Analytics, DataDog, and qualitative tools (FullStory, Hotjar)

Exceptional critical thinking, with a deep understanding of advanced funnel analysis, causal inference, A/B testing methodologies, and behavioral diagnostics

Demonstrated ability to influence product and business strategy by communicating complex technical findings and data science concepts clearly to executives and cross-functional partners

Experience in defining site experience KPIs, event instrumentation requirements, and running high-impact Conversion Rate Optimization or web experiment roadmaps

A strong strategic bias toward action, using data not just to report on performance but to proactively connect insights to future business outcomes